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A surface representation approach for novelty detection

Li, Yuhua (2008) A surface representation approach for novelty detection. In: IEEE International Conference on Information and Automation, Zhangjiajie, China. UNSPECIFIED. 5 pp. [Conference contribution]

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URL: http://intl.ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4607950&arnumber=4608233&count=357&index=282


There has been a pronounced increase in novelty detection research in recent years due to the driving force from applications such as monitoring of safety-critical systems and detection of novel objects in image sequences. This paper presents a novelty detection method from a new perspective by analysing the fundamental properties of novelty detectors. It constructs closed decision surface around the given data from known classes through the derivation of surface normal vectors and the identification of extreme patterns. A novel pattern is detected if it locates outside the region formed by the closed data surface. The experimental results demonstrate that the proposed method performs with high accuracies in detecting novel class as well as identifying known classes.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:8904
Deposited By: Dr Yuhua Li
Deposited On:01 Feb 2010 16:13
Last Modified:09 May 2016 10:55

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